Exploring Distributed Systems, Machine Learning and Operations, and Engineering Management
Hey there! So we decided to create a Word Count application – a classic MapReduce example. But what the heck is a Word Count application, you ask? It’s basically a program that reads data and calculates the most common words. Easy peasy. For example: dataDF = sqlContext.createDataFrame([('Jax',), ('Rammus',), ('Zac',), ('Xin', ), ('Hecarim', ), ('Zac', ), […]
Hey there! Let’s talk about this dataset from RealClearPolitics and the US Presidential Election. Before we dive in, let’s get on the same page about a few things: The US Presidential Election happens every four years. There are 50 states in the US and each gets a certain number of electoral votes based on its […]
Hey there! As your friendly language model, I’m here to help proofread and rewrite your text! Here’s the corrected and rewritten version of your post: Let’s do some Machine Learning with SparkR 1.6! The package only gives us the option to do linear or logistic regression, so for this exercise, we’re going to train a […]
Hey there! Let’s talk about spam filters. You know, those annoying emails that keep showing up in your inbox, even though you never signed up for them. Yeah, those. Well, a spam filter is a program that filters out those unwanted emails and messages. Pretty cool, right? So, we’re going to build and evaluate a […]
Alright, folks! The The Analytics Edge course on edX is almost over and boy, have I learned a lot about Machine Learning in the past 2 months! This MOOC is hands down the best one I’ve taken so far, and I hope my other courses can at least live up to its awesomeness. I first […]
It’s an absolute thrill to be in the top 1% of the Kaggle competition hosted by MIT! This contest is no joke, with some seriously experienced ML implementers throwing their hats into the ring. And let me tell you, the top 3 are on a whole other level – they’ve achieved over 90% accuracy, which […]
After diving into regression analysis, I couldn’t wait to test my newfound skills on some real-world data. Luckily, Kaggle has just the thing – they’re hosting a competition called ‘History of Baseball’ and, even better, they’ve provided a dataset for it! I had a blast analyzing Paul dePodesta’s predictions and statistical findings, using linear regression […]
A year ago, I stumbled upon a link in /r/dataisbeautiful on Reddit. I can’t recall the exact topic of the article, but it was from a site called 538. Being an avid reader, I started exploring other posts on the site and was pretty much blown away by the analyses. The data analysis fascinated me, […]